Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Proctoring Ai | 397 | a year ago | 10 | mit | Python | |||||
Creating a software for automatic monitoring in online proctoring | ||||||||||
Mobilenet Ssd Realsense | 284 | 5 years ago | 14 | mit | Python | |||||
[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering | ||||||||||
Naruto Handsigndetection | 211 | 10 months ago | mit | Python | ||||||
物体検出を用いてNARUTOの印(子~亥、壬、合掌)を検出するモデルとサンプルプログラムです。このリポジトリでは、YOLOXを使用しています(This is a model and sample program that detects NARUTO's hand sign using object detection. This repository use YOLOX.) | ||||||||||
Tpu Mobilenetssd | 62 | 5 years ago | 2 | mit | Python | |||||
Edge TPU Accelerator / Multi-TPU + MobileNet-SSD v2 + Python + Async + LattePandaAlpha/RaspberryPi3/LaptopPC | ||||||||||
Tensorrt_tx2_20fps | 33 | 6 years ago | 7 | C++ | ||||||
Target to achieve 20 fps of vehicle/pedestrian detection(Fast R-CNN) on TX2 via TensorRT | ||||||||||
Tensorflow_lite_ssd_rpi_64 Bits | 23 | 2 years ago | 2 | bsd-3-clause | C++ | |||||
TensorFlow Lite SSD on bare Raspberry Pi 4 with 64-bit OS at 24 FPS | ||||||||||
Fast Tracking By Detection | 20 | 5 years ago | 1 | Python | ||||||
This repository includes fast tracking by detection method based on SSD detector and multiple Kalman tracker. | ||||||||||
Realtime Object Detection | 11 | 5 years ago | mit | Python | ||||||
Tensorflow_lite_ssd_rpi_32 Bits | 11 | 2 years ago | 1 | bsd-3-clause | C++ | |||||
TensorFlow Lite SSD on a bare Raspberry Pi 4 at 17 FPS | ||||||||||
Jetson_nano_trt_tf_ssd | 7 | 4 years ago | other | Python | ||||||
How to run SSD Mobilenet V2 object detection on Jetson Nano at 20+ FPS |